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» Data Reduction Using Multiple Models Integration
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EDBTW
2010
Springer
15 years 6 months ago
Flexible Dataspace Management Through Model Management
The vision of dataspaces has been articulated as providing various of the benefits of classical data integration but with reduced up-front costs, which, combined with opportunitie...
Cornelia Hedeler, Khalid Belhajjame, Lu Mao, Norma...
DAC
2008
ACM
16 years 4 months ago
Variation-adaptive feedback control for networks-on-chip with multiple clock domains
This paper discusses the use of networks-on-chip (NoCs) consisting of multiple voltage-frequency islands to cope with power consumption, clock distribution and parameter variation...
Ümit Y. Ogras, Diana Marculescu, Radu Marcule...
ATAL
2005
Springer
15 years 8 months ago
Agent-based integration of Web Services with Workflow Management Systems
Rapid changes in the business environment call for more flexible and adaptive workflow systems. Researchers have proposed that Workflow Management Systems (WfMSs) comprising multi...
Bastin Tony Roy Savarimuthu, Maryam Purvis, Martin...
EDM
2009
179views Data Mining» more  EDM 2009»
15 years 29 days ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 9 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox